矿井火灾时期温度分布数值模拟

矿井发生火灾时，由于风流温度的变化，在井巷中会产生“浮力效应”和“节流效应”，风流受火灾动力的作用，容易引起其状态紊乱，甚至造成整个通风系统风流状态的混乱。矿井火灾时期温度不易直接测量，本文提出了矿井火灾时期温度分布计算数学模型，结合人工智能理论中的深度优先搜索法，编写了火灾时期烟流传播过程及温度分布的软件，对矿井火灾时期烟流传播过程及温度分布进行了数值模拟，对制定火灾预案及火灾时期决策具有重要意义。同时利用深度优先搜索法，确定了火灾时期任一时刻非污染范围、污染范围、火区和可能污染范围，为确定避灾路线和救护路线提供了依据。

Numerical simulation for temperature distribution during mine fire period

During mine fire period, due to the variation of airflow temperature, buoyancy effect and throttle effect may appear at tunnels, and because of the influence of the fire power on airflow, the airflow state may be disturbed, even lead to the chaos of the airflow sate of whole ventilation system. As temperature can not be measured easily during fire period, a mathematical model for the calculation of temperature distribution during fire period in a mine is put forward in the paper, and depth first search algorithm in artificial intelligence theory is also be used to write a program for simulating the spreading process of smoke plume and temperature distribution during fire period. By using the program, a numerical simulation of the spreading process of smoke plume and temperature distribution during fire period in a mine is done, which is significant for establishing fire pre-scheme and the decision-making during fire period. At the same time, non-pollution range, pollution range, fire zone and potential pollution range at any moment are determined by depth first search algorithm, which provides foundation for the determination of escaping route and rescuing route.